Self-adapted Harmony Search Algorithm with Opposed Competition and Its Optimization
OUYANG Hai-Bin1, GAO Li-Qun1, KONG Xian-Yong1, ZOU De-Xuan2
1.College of Information Science and Engineering, Northeastern University, Shenyang 110819 2.School of Electrical Engineering and Automation, Jiangsu Normal University, Xuzhou 221116
Abstract A self-adapted harmony search algorithm with opposed competition (SHSOC) is proposed. The blindness of bandwidth setting of harmony search algorithm is analyzed.The adaptive bandwidth adjustment is employed. Meanwhile, the superiority of the opposed learning strategy is integrated into the proposed algorithm, and the competition selection mechanism of end elimination is established to further improve global search ability and keep the algorithm from falling into local optima. The proposed algorithm is tested on several classic functions to evaluate the performance. The numerical results show the superiority of SHSOC in accuracy and robustness compared with harmony search algorithm and some state-of-the-art harmony search variants. Moreover, SHSOC can solve the optimization problems of the heat exchanger and the speed reducer design, and the results show that SHSOC is better than any other algorithm.
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2014, Vol. 27 
